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EMERGE: A Benchmark for Updating Knowledge Graphs with Emerging Textual Knowledge

arXiv 2507.03617 ↗First posted 4 Jul 2025cs.CLcited by 0

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Abstract (arXiv)

Knowledge Graphs (KGs) are structured knowledge repositories containing entities and relations between them. In this paper, we study the problem of automatically updating KGs over time in response to evolving knowledge in unstructured textual sources. Addressing this problem requires identifying a wide range of update operations based on the state of an existing KG at a given time and the information extracted from text. This contrasts with traditional information extraction pipelines, which extract knowledge from text independently of the current state of a KG. To address this challenge, we propose a method for construction of a dataset consisting of Wikidata KG snapshots over time and Wikipedia passages paired with the corresponding edit operations that they induce in a particular KG snapshot. The resulting dataset comprises 233K Wikipedia passages aligned with a total of 1.45 million KG edits over 7 different yearly snapshots of Wikidata from 2019 to 2025. Our experimental results highlight key challenges in updating KG snapshots based on emerging textual knowledge, particularly in integrating knowledge expressed in text with the existing KG structure. These findings position the dataset as a valuable benchmark for future research. Our dataset and model implementations are publicly available.

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References · 72

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
  2. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,512
  3. 2014Sequence to Sequence Learning with Neural Networkscited by 2,986
  4. 2024From Local to Global: A Graph RAG Approach to Query-Focused Summarizationcited by 1,453
  5. 2018Datasheets for Datasetscited by 1,386
  6. 2017Convolutional 2D Knowledge Graph Embeddingscited by 730
  7. 2023Unifying Large Language Models and Knowledge Graphs: A Roadmapcited by 668
  8. 2019KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representationcited by 356
  9. 2018Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Constructioncited by 322
  10. 2023FreshLLMs: Refreshing Large Language Models with Search Engine Augmentationcited by 318
  11. 2021Time-Aware Language Models as Temporal Knowledge Basescited by 296
  12. 2018FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluationcited by 254
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  1. 2022RealTime QA: What's the Answer Right Now?cited by 244
  2. 2017End-to-end Neural Coreference Resolutioncited by 241
  3. 2019DocRED: A Large-Scale Document-Level Relation Extraction Datasetcited by 239
  4. 2023Grammar-Constrained Decoding for Structured NLP Tasks without Finetuningcited by 197
  5. 2023Large Language Models for Generative Information Extraction: A Surveycited by 185
  6. 2021Towards Continual Knowledge Learning of Language Modelscited by 174
  7. 2023Knowledge Graph Prompting for Multi-Document Question Answeringcited by 152
  8. 2021Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Modelscited by 132
  9. 2022StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Modelscited by 126
  10. 2022TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Modelscited by 119
  11. 2020Tensor Decompositions for temporal knowledge base completioncited by 115
  12. 2017SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publicationscited by 102
  13. 2020CoDEx: A Comprehensive Knowledge Graph Completion Benchmarkcited by 102
  14. 2019FewRel 2.0: Towards More Challenging Few-Shot Relation Classificationcited by 94
  15. 2023Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extractioncited by 89
  16. 2022BioRED: A Rich Biomedical Relation Extraction Datasetcited by 85
  17. 2018One-Shot Relational Learning for Knowledge Graphscited by 78
  18. 2021Re-TACRED: Addressing Shortcomings of the TACRED Datasetcited by 74
  19. 2024Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Constructioncited by 70
  20. 2020Dialogue-Based Relation Extractioncited by 68
  21. 2023Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledgecited by 67
  22. 2023A Comprehensive Survey on Automatic Knowledge Graph Constructioncited by 63
  23. 2019OpenNRE: An Open and Extensible Toolkit for Neural Relation Extractioncited by 62
  24. 2020Inductive Entity Representations from Text via Link Predictioncited by 62
  25. 2021ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoningcited by 58
  26. 2022Revisiting DocRED -- Addressing the False Negative Problem in Relation Extractioncited by 57
  27. 2023FactKG: Fact Verification via Reasoning on Knowledge Graphscited by 57
  28. 2025Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendationcited by 57
  29. 2022Entity Cloze By Date: What LMs Know About Unseen Entitiescited by 55
  30. 2021GenIE: Generative Information Extractioncited by 53
  31. 2020More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extractioncited by 52
  32. 2025KGGen: Extracting Knowledge Graphs from Plain Text with Language Modelscited by 49
  33. 2023Text2KGBench: A Benchmark for Ontology-Driven Knowledge Graph Generation from Textcited by 48
  34. 2024Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrievalcited by 45
  35. 2024AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledgecited by 44
  36. 2024AKEW: Assessing Knowledge Editing in the Wildcited by 36
  37. 2023KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Modelscited by 32
  38. 2020DWIE: an entity-centric dataset for multi-task document-level information extractioncited by 29

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